Job description

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE JOB Anduril is building the future of defense technology, and a critical component of this mission is a trusted, unified, and intelligently structured data foundation. We are seeking a technically capable and investigative Master Data Management Analyst to ensure our master data is accurate, governed, and trusted at the source. Reporting to the Master Data Management Lead, this role sits within the MDM Center of Excellence and is focused on data quality investigation, root-cause analysis, governance operationalization, and business enablement within the MDM domain. You will be the person who assists in root-causing data quality issues, determining whether the problem is a source system issue (e.g., ERP, PLM, CRM, MES), process gap, or a transformation logic issue in the analytics pipeline. You will populate and maintain MDM metadata (RACI, ownership, SLAs, critical attributes) within our semantic layer platform in partnership with business domain stewards who own their data within their functional orgs while operating within MDM's governance framework. You will also partner with analytics engineering teams by reading their transformation code to validate data lineage and quality, ensuring what's built matches golden record rules and critical attribute definitions established through the MDM Center of Excellence. You will also contribute to the semantic layer's design and data definitions from an MDM perspective, ensuring that golden record standards, business definitions, and governance requirements are reflected in ontology objects and semantic models. WHAT YOU'LL DO Operationalize MDM Governance & Enable Business Stewards: Populate and maintain MDM metadata within the semantic layer platform in partnership with business domain stewards, including RACI ownership fields, critical attribute definitions, data quality SLAs, and stewardship assignments. Establish realistic quality thresholds and monitor adherence, notifying responsible parties when metrics fall below acceptable levels. Train functional data stewards on what MDM governance means tactically for their domain, including their RACI responsibilities, how to maintain data quality at the source, what SLAs they are accountable for, and how to use governance tooling to self-monitor. Support the definition of golden record rules, critical attribute lists, and cross-domain governance standards through the CoE, helping drive alignment when competing definitions arise across business domains. Contribute to Semantic Layer Design, Data Definition & Governance: Translate complex data structures (PLM, MES, ERP, Foundry, Databricks) into clear product requirements for ontology objects and semantic models from an MDM perspective, ensuring golden record rules, critical attribute definitions, and business glossary terms are accurately represented. Collaborate with SMEs to build comprehensive data catalogs. Partner with Analytics Engineering on Data Validation: Work closely with analytics engineering teams by reading their SQL code, models, and transformation logic to validate that data flowing from source systems into the warehouse and semantic layer is accurate, complete, and consistent with MDM golden record definitions. Inform Semantic Layer PM on Platform Gaps: When MDM governance workflows surface platform capability needs (e.g., new monitoring dashboards, alert mechanisms, metadata fields), define the technical requirements and business urgency and communicate them to the semantic layer platform team for roadmap prioritization. Create Intuitive Learning Resources & Decentralize Support: Develop and maintain high-quality training materials, documentation, best practices guides, and reusable usage patterns to empower business stewards and users for self-service data quality monitoring and governance adherence. Identify, cultivate, and equip power users across business domains to serve as local MDM and data quality champions, accelerating peer-to-peer learning and reducing reliance on centralized support. REQUIRED QUALIFICATIONS 3+ years of experience in Master Data Management, Data Governance, or Data Analytics. Experience writing basic queries to independently explore data, validate data quality, and support root-cause investigations. Ability to read and interpret transformation code written by analytics engineering teams without necessarily writing production pipelines. Experience operationalizing data governance frameworks, including defining RACI ownership, establishing data quality SLAs, and training business stewards on their governance responsibilities. Familiarity with Master Data Management principles or equivalent experience managing data standardization, taxonomy, or product information across multiple systems, including data governance, metadata management, data lineage, and user access management as they pertain to data trust, security, and compliance (e.g., ITAR, CUI). Experience working across enterprise source systems (e.g., ERP, PLM, CRM, MES) with the ability to distinguish between source system data issues, process gaps, and transformation logic errors. Excellent communication and stakeholder management skills, capable of presenting well-formed investigations and data quality recommendations to both technical and business audiences. PREFERRED QUALIFICATIONS Experience in manufacturing, defense, or aerospace industries with knowledge of PLM, ERP, MES, and CRM data flows. Experience integrating semantic layers with LLM agents or Digital Twin platforms. Experience with Palantir Foundry, Databricks, or similar data platform ecosystems. US Salary Range $135,000 — $196,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits . Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. Please always verify communications: Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com . Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links. What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com . Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit anduril.com . By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.

Requirements

Must-haves

3+ years of experience in Master Data Management, Data Governance, or Data Analytics.
Experience operationalizing data governance frameworks, including defining RACI ownership, establishing data quality SLAs, and training business stewards on their governance responsibilities.
Experience working across enterprise source systems (e.g., ERP, PLM, CRM, MES) with the ability to distinguish between source system data issues, process gaps, and transformation logic errors.
Excellent communication and stakeholder management skills, capable of presenting well-formed investigations and data quality recommendations to both technical and business audiences.
Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address.

Nice-to-haves

Experience in manufacturing, defense, or aerospace industries with knowledge of PLM, ERP, MES, and CRM data flows.
Experience integrating semantic layers with LLM agents or Digital Twin platforms.
Experience with Palantir Foundry, Databricks, or similar data platform ecosystems.

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